autoevaluator
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
9bf0ac5
language: en | |
license: cc-by-4.0 | |
tags: | |
- deberta | |
- deberta-v3 | |
datasets: | |
- squad_v2 | |
model-index: | |
- name: deepset/deberta-v3-base-squad2 | |
results: | |
- task: | |
type: question-answering | |
name: Question Answering | |
dataset: | |
name: squad_v2 | |
type: squad_v2 | |
config: squad_v2 | |
split: validation | |
metrics: | |
- type: exact_match | |
value: 83.8248 | |
name: Exact Match | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2IyZTEyYzNlOTAwZmFlNWRiZTdiNzQzMTUyM2FmZTQ3ZWQwNWZmMzc2ZDVhYWYyMzkxOTUyMGNlMWY0M2E5MiIsInZlcnNpb24iOjF9.y8KvfefMLI977BYun0X1rAq5qudmezW_UJe9mh6sYBoiWaBosDO5TRnEGR1BHzdxmv2EgPK_PSomtZvb043jBQ | |
- type: f1 | |
value: 87.41 | |
name: F1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWVhNjAwM2Q5N2Y3MGU4ZWY3N2Y0MmNjYWYwYmQzNTdiYWExODhkYmQ1YjIwM2I1ODEzNWIxZDI1ZWQ1YWRjNSIsInZlcnNpb24iOjF9.Jk0v1ZheLRFz6k9iNAgCMMZtPYj5eVwUCku4E76wRYc-jHPmiUuxvNiNkn6NW-jkBD8bJGMqDSjJyVpVMn9pBA | |
- task: | |
type: question-answering | |
name: Question Answering | |
dataset: | |
name: squad | |
type: squad | |
config: plain_text | |
split: validation | |
metrics: | |
- type: exact_match | |
value: 84.9678 | |
name: Exact Match | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWUxYTg4MzU3YTdmMDRmMGM0NjFjMTcwNGM3YzljM2RkMTc1ZGNhMDQwMTgwNGI0ZDE4ZGMxZTE3YjY5YzQ0ZiIsInZlcnNpb24iOjF9.KKaJ1UtikNe2g6T8XhLoWNtL9X4dHHyl_O4VZ5LreBT9nXneGc21lI1AW3n8KXTFGemzRpRMvmCDyKVDHucdDQ | |
- type: f1 | |
value: 92.2777 | |
name: F1 | |
verified: true | |
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDU0ZTQwMzg4ZDY1ZWYxOGIxMzY2ODljZTBkMTNlYjA0ODBjNjcxNTg3ZDliYWU1YTdkYTM2NTIxOTg1MGM4OCIsInZlcnNpb24iOjF9.8VHg1BXx6gLw_K7MUK2QSE80Y9guiVR8n8K8nX4laGsLibxv5u_yDv9F3ahbUa1eZG_bbidl93TY2qFUiYHtAQ | |
# deberta-v3-base for QA | |
This is the [deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) model, fine-tuned using the [SQuAD2.0](https://huggingface.co/datasets/squad_v2) dataset. It's been trained on question-answer pairs, including unanswerable questions, for the task of Question Answering. | |
## Overview | |
**Language model:** deberta-v3-base | |
**Language:** English | |
**Downstream-task:** Extractive QA | |
**Training data:** SQuAD 2.0 | |
**Eval data:** SQuAD 2.0 | |
**Code:** See [an example QA pipeline on Haystack](https://haystack.deepset.ai/tutorials/first-qa-system) | |
**Infrastructure**: 1x NVIDIA A10G | |
## Hyperparameters | |
``` | |
batch_size = 12 | |
n_epochs = 4 | |
base_LM_model = "deberta-v3-base" | |
max_seq_len = 512 | |
learning_rate = 2e-5 | |
lr_schedule = LinearWarmup | |
warmup_proportion = 0.2 | |
doc_stride = 128 | |
max_query_length = 64 | |
``` | |
## Usage | |
### In Haystack | |
Haystack is an NLP framework by deepset. You can use this model in a Haystack pipeline to do question answering at scale (over many documents). To load the model in [Haystack](https://github.com/deepset-ai/haystack/): | |
```python | |
reader = FARMReader(model_name_or_path="deepset/deberta-v3-base-squad2") | |
# or | |
reader = TransformersReader(model_name_or_path="deepset/deberta-v3-base-squad2",tokenizer="deepset/deberta-v3-base-squad2") | |
``` | |
### In Transformers | |
```python | |
from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline | |
model_name = "deepset/deberta-v3-base-squad2" | |
# a) Get predictions | |
nlp = pipeline('question-answering', model=model_name, tokenizer=model_name) | |
QA_input = { | |
'question': 'Why is model conversion important?', | |
'context': 'The option to convert models between FARM and transformers gives freedom to the user and let people easily switch between frameworks.' | |
} | |
res = nlp(QA_input) | |
# b) Load model & tokenizer | |
model = AutoModelForQuestionAnswering.from_pretrained(model_name) | |
tokenizer = AutoTokenizer.from_pretrained(model_name) | |
``` | |
## Authors | |
**Sebastian Lee:** sebastian.lee [at] deepset.ai | |
**Timo M枚ller:** timo.moeller [at] deepset.ai | |
**Malte Pietsch:** malte.pietsch [at] deepset.ai | |
## About us | |
<div class="grid lg:grid-cols-2 gap-x-4 gap-y-3"> | |
<div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center"> | |
<img alt="" src="https://huggingface.co/spaces/deepset/README/resolve/main/haystack-logo-colored.svg" class="w-40"/> | |
</div> | |
<div class="w-full h-40 object-cover mb-2 rounded-lg flex items-center justify-center"> | |
<img alt="" src="https://huggingface.co/spaces/deepset/README/resolve/main/deepset-logo-colored.svg" class="w-40"/> | |
</div> | |
</div> | |
[deepset](http://deepset.ai/) is the company behind the open-source NLP framework [Haystack](https://haystack.deepset.ai/) which is designed to help you build production ready NLP systems that use: Question answering, summarization, ranking etc. | |
Some of our other work: | |
- [Distilled roberta-base-squad2 (aka "tinyroberta-squad2")]([https://huggingface.co/deepset/tinyroberta-squad2) | |
- [German BERT (aka "bert-base-german-cased")](https://deepset.ai/german-bert) | |
- [GermanQuAD and GermanDPR datasets and models (aka "gelectra-base-germanquad", "gbert-base-germandpr")](https://deepset.ai/germanquad) | |
## Get in touch and join the Haystack community | |
<p>For more info on Haystack, visit our <strong><a href="https://github.com/deepset-ai/haystack">GitHub</a></strong> repo and <strong><a href="https://haystack.deepset.ai">Documentation</a></strong>. | |
We also have a <strong><a class="h-7" href="https://haystack.deepset.ai/community/join">Discord community open to everyone!</a></strong></p> | |
[Twitter](https://twitter.com/deepset_ai) | [LinkedIn](https://www.linkedin.com/company/deepset-ai/) | [Discord](https://haystack.deepset.ai/community/join) | [GitHub Discussions](https://github.com/deepset-ai/haystack/discussions) | [Website](https://deepset.ai) |